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Hamline

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Hamline
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 1161 (#17) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1205 (#48) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1085 (#111) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +15.4 (#56) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +8.1 (#231) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.782 (#320) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +16.0 More → 0.898 (#161) NetEff +16.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +17.4 More → 0.882 (#224) AdjNet +17.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +17.2 More → 0.884 (#224) AdjNet +17.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.1 | AdjD 54.7 More → 0.702 (#236) AdjO 64.1 | AdjD 54.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.1 | AdjD 52.0 More → 0.696 (#130) AdjO 61.1 | AdjD 52.0
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.755 (#163) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.752 (#163) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 21 More → 1160 (#98) RD 99 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-11 @ Northwestern-St. Paul W 87 - 48
2025-11-15 vs Wis.-Superior W 56 - 27
2025-11-19 @ Martin Luther W 77 - 61
2025-11-25 vs Wis.-Stout L 56 - 69
2025-12-03 vs Gustavus Adolphus L 50 - 53
2025-12-10 @ Saint Mary's (MN) L 51 - 54
2025-12-13 @ Bethany Lutheran W 63 - 48
2025-12-28 @ Claremont-M-S W 67 - 63
2025-12-30 @ Pomona-Pitzer W 73 - 71
2026-01-10 @ Saint Benedict W 65 - 60
2026-01-14 vs Carleton W 63 - 56
2026-01-17 vs St. Olaf W 54 - 39
2026-01-21 vs Augsburg W 75 - 55
2026-01-24 @ St. Olaf W 63 - 26
2026-01-28 @ Gustavus Adolphus L 55 - 59
2026-01-31 vs St. Catherine L 50 - 53
2026-02-04 @ Augsburg W 64 - 44
2026-02-07 @ Concordia-M'head L 62 - 67

2026 Roster

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Camille Cummings - 17 28.7 13.3 3.4 1.5 1.4 0.2 2.1 11.2 6.4 105 5.0 38.7 36.8 26.5 85.3 -3.0 50.7 42.6
Lauren Cooper - 17 23.1 8.1 1.9 1.9 1.6 0.0 1.6 7.8 4.1 96 4.6 40.9 36.8 31.2 57.1 1.33 47.5 45.9
Josie Schmidt - 17 22.3 6.9 2.6 2.4 3.2 0.4 2.1 5.4 8.1 147 7.0 55.3 52.7 5.3 69.0 3.75 56.4 53.3
Sophie Stork - 17 24.7 6.5 3.9 1.5 1.2 0.2 2.2 7.7 3.5 79 3.8 31.8 29.0 32.2 46.7 1.22 40.3 39.7
Anna Rynkiewich - 17 19.4 6.4 4.9 0.9 2.0 0.3 1.2 5.6 7.7 158 7.5 78.7 49.5 11.1 66.7 3.24 52.3 50.0
Emma Lamppa - 15 16.2 5.7 2.1 0.7 0.6 0.0 1.0 4.1 4.1 78 4.1 87.6 45.9 44.6 83.3 1.54 67.6 66.4
Taylor Klement - 5 16.2 5.6 2.0 1.2 0.2 0.0 0.6 3.6 4.8 - - - 55.6 53.8 50.0 - 74.2 75.0
Marina LaFreniere - 15 18.1 4.1 3.4 0.9 1.4 0.1 2.1 4.1 3.7 30 1.7 16.8 44.3 0.0 87.5 -0.81 47.3 44.3
Josie Wiebusch - 17 16.3 3.8 2.6 0.8 1.0 0.2 0.8 4.4 3.3 57 2.9 39.5 33.8 12.9 76.9 0.26 40.1 36.5
Evelyn Wiltrout - 17 11.5 3.0 2.4 0.3 0.2 0.1 0.8 2.8 2.3 114 6.0 91.1 43.8 0.0 75.0 1.92 47.9 43.8
Taylor Starks - 6 5.7 2.8 1.0 0.0 0.2 0.2 0.5 2.0 1.7 31 4.4 75.5 33.3 0.0 75.0 2.06 49.2 33.3
Aliyah Robran - 10 7.0 1.3 1.5 0.5 0.1 0.0 0.6 1.5 1.3 -4 -0.3 -7.2 33.3 0.0 75.0 -1.81 38.8 33.3
Megan Spencer - 8 4.5 1.2 0.8 0.0 0.1 0.4 0.1 1.6 0.8 25 2.3 92.7 23.1 25.0 75.0 -1.39 33.9 26.9
Ava Nebben - 5 4.2 1.2 0.4 0.0 0.2 0.0 0.6 0.4 0.8 9 1.3 40.2 100.0 100.0 0 0.05 150.0 150.0
Isabella Jensen - 15 8.7 1.1 0.9 0.3 0.5 0.1 0.9 1.3 0.5 56 2.9 39.4 35.0 18.2 0.0 -1.18 36.8 40.0
Josie Lupinek - 6 3.0 1.0 0.2 0.0 0.3 0.0 0.2 1.0 0.3 -5 -0.6 -28.3 33.3 40.0 0 -0.18 50.0 50.0
Morgan Gokey - 3 3.0 0.7 0.3 0.3 1.0 0.3 1.3 1.0 0.3 - - - 33.3 0.0 0.0 - 25.8 33.3
Phaley Yang - 7 2.5 0.3 0.3 0.1 0.0 0.0 0.1 0.4 0.1 -34 -3.4 -1236.4 33.3 0.0 0 -0.77 33.3 33.3
Ali Simonson - 4 2.5 0.2 0.5 0.0 0.0 0.2 0.0 0.5 0.5 - - - 0.0 0 50.0 - 17.4 0.0
Morgan Halverson - 2 2.8 0.0 0.5 0.0 0.0 0.0 0.0 0.5 0.0 - - - 0.0 0 0 - 0.0 0.0

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG